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Details
Table of Contents
Intro
Preface
Organization
Contents
Part II
Contents
Part I
Agent and Multi-agent Systems, Planning and Reinforcement Learning
A Multi-level Approach to the Formal Semantics of Agent Societies
1 Introduction
2 Multiple Levels in Agent Societies
3 Multi-level Semantics
4 Processes
4.1 Vertical Integrity Constraints and Count-As Relations
5 Multi-level Semantics with VIC
6 Organisational Processes
6.1 Organisations
6.2 Semantics
7 Related Work
8 Conclusion
References
A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
1 Introduction
2 Methods
2.1 Cartesian Genetic Programming
2.2 K-Armed Bandits
3 Proposed Method
4 Computational Experiments
4.1 Analysis of the Results
5 Conclusion
References
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems
1 Introduction
2 Related Work
3 The Approach AgentDevLaw
4 Applications and Simulations
4.1 JaCaMo
4.2 JADE
4.3 Discussions
5 Conclusion and Further Work
References
An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents
1 Introduction
2 Argumentation Process for Goals Selection
3 Argumentation Process for Explanations Generation
3.1 Explanatory Arguments and Argumentation Framework
3.2 Explanation Generation Process
3.3 From Explanatory Arguments to Explanatory Sentences
4 Application: Cleaner World Scenario
5 Related Work
6 Conclusions and Future Work
References
Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems
1 Introduction
2 Related Works
3 Proposed Approach
4 Experiments and Results
5 Conclusions
References
Cooperative Observation of Smart Target Agents
1 Introduction
2 Related Works
3 Approaches to Improve the Performance of Target Teams
3.1 The Old Approaches
3.2 The New Approach
4 Experiments and Results
4.1 Old Approach to Improving the Target Agents Team Performance
4.2 New Approach to Improving the Target Agents Team Performance
5 Conclusions
References
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning
1 Introduction
2 Risk-Prone and Risk-Averse Policy Illustrative Examples
3 Risk Sensitive Stochastic Shortest Path (RS-SSP)
3.1 Policy Iteration for RS-SSP
3.2 LRTDP for RS-SSP
4 Finding the Extreme Feasible
4.1 Sequential Search with Policy Evaluation and Improvement
4.2 Sequential Search with Optimal Policy
4.3 Checking -feasibility by Linear Programming
5 Empirical Analysis
Preface
Organization
Contents
Part II
Contents
Part I
Agent and Multi-agent Systems, Planning and Reinforcement Learning
A Multi-level Approach to the Formal Semantics of Agent Societies
1 Introduction
2 Multiple Levels in Agent Societies
3 Multi-level Semantics
4 Processes
4.1 Vertical Integrity Constraints and Count-As Relations
5 Multi-level Semantics with VIC
6 Organisational Processes
6.1 Organisations
6.2 Semantics
7 Related Work
8 Conclusion
References
A Reinforcement Learning Based Adaptive Mutation for Cartesian Genetic Programming Applied to the Design of Combinational Logic Circuits
1 Introduction
2 Methods
2.1 Cartesian Genetic Programming
2.2 K-Armed Bandits
3 Proposed Method
4 Computational Experiments
4.1 Analysis of the Results
5 Conclusion
References
AgentDevLaw: A Middleware Architecture for Integrating Legal Ontologies and Multi-agent Systems
1 Introduction
2 Related Work
3 The Approach AgentDevLaw
4 Applications and Simulations
4.1 JaCaMo
4.2 JADE
4.3 Discussions
5 Conclusion and Further Work
References
An Argumentation-Based Approach for Explaining Goals Selection in Intelligent Agents
1 Introduction
2 Argumentation Process for Goals Selection
3 Argumentation Process for Explanations Generation
3.1 Explanatory Arguments and Argumentation Framework
3.2 Explanation Generation Process
3.3 From Explanatory Arguments to Explanatory Sentences
4 Application: Cleaner World Scenario
5 Related Work
6 Conclusions and Future Work
References
Application-Level Load Balancing for Reactive Wireless Sensor Networks: An Approach Based on Constraint Optimization Problems
1 Introduction
2 Related Works
3 Proposed Approach
4 Experiments and Results
5 Conclusions
References
Cooperative Observation of Smart Target Agents
1 Introduction
2 Related Works
3 Approaches to Improve the Performance of Target Teams
3.1 The Old Approaches
3.2 The New Approach
4 Experiments and Results
4.1 Old Approach to Improving the Target Agents Team Performance
4.2 New Approach to Improving the Target Agents Team Performance
5 Conclusions
References
Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning
1 Introduction
2 Risk-Prone and Risk-Averse Policy Illustrative Examples
3 Risk Sensitive Stochastic Shortest Path (RS-SSP)
3.1 Policy Iteration for RS-SSP
3.2 LRTDP for RS-SSP
4 Finding the Extreme Feasible
4.1 Sequential Search with Policy Evaluation and Improvement
4.2 Sequential Search with Optimal Policy
4.3 Checking -feasibility by Linear Programming
5 Empirical Analysis